This post outlines a non-intrusive method for diagnosing CPU spikes in production environments using the yCrash data script. It captures 360° data from JVM applications with minimal overhead and allows for analysis of CPU consumption by threads. The process includes data capturing, uploading, and generating a unified root cause analysis report.
We appreciate Entwinkler.de JavaMagazin for translating and publishing our article 'Simulating and troubleshooting deadlocks in Kotlin' in German. It’s an honor to see our work featured in a print magazine, specifically the December 2022 issue, titled 'Simulation und Fehlerbehebung von Deadlocks in Kotlin'.
This content discusses simulating and troubleshooting the 'java.lang.OutOfMemoryError: Java Heap space' issue in Scala applications. A sample program demonstrates how excessive object creation leads to memory overflow. It also explains manual and automated approaches, including heap dump analysis tools and the use of yCrash for diagnosing memory leaks effectively.
This content highlights the concept of Deadlock in multi-threaded applications, particularly in Scala. It defines Deadlock as a situation where processes are mutually blocked due to resource contention, illustrated through a train analogy. A sample Scala program demonstrates Deadlock occurrence, and troubleshooting methods using tools like yCrash are discussed for effective analysis.
This content discusses how threads in Scala enter the BLOCKED state when they cannot acquire a lock due to another thread holding it. It provides a sample program illustrating this concept and explains both manual and automated approaches for diagnosing BLOCKED threads, including thread dumps and using the yCrash tool for analysis.
This post discusses simulating and troubleshooting thread leaks in Scala, specifically through a program that causes 'java.lang.OutOfMemoryError: unable to create new native thread.' It outlines both manual and automated approaches for diagnosing this issue, utilizing thread dumps and tools like yCrash to analyze and pinpoint root causes effectively.
This article discusses simulating and troubleshooting CPU spikes in Scala programs, particularly through infinite loops in threads. A sample program demonstrates this, launching six threads that run indefinitely. Troubleshooting methods include manual processes and automated tools like yCrash, which help identify and analyze the root causes of CPU consumption issues effectively.
This post discusses simulating and troubleshooting StackOverflow errors in Kotlin. It explains that such errors occur when a thread's stack exceeds memory limits, demonstrated through a sample program that calls a method recursively. Diagnosis can be manual via logs or automated using the yCrash tool, which captures relevant data for analysis.
This content discusses simulating and troubleshooting thread leaks in Kotlin, focusing on the 'java.lang.OutOfMemoryError: unable to create new native thread'. A sample program is provided that creates infinite threads leading to this error. It outlines manual and automated diagnostic methods, with yCrash being highlighted for quick root cause analysis and reporting issues in thread management.